🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Lijing Wang

Hebei University of Science and Technology

ORCID: 0000-0002-0836-9190

Also affiliated with Fifth Hospital of Shijiazhuang

Social SciencesDecision SciencesMathematicsMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile
2.3Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The United States COVID-19 Forecast Hub dataset

Scientific Data(2022)10.1038/s41597-022-01517-w
Top 9%
2.3DataRank
Top 9%131 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +95 more

Papers

Driven by 15 papers — median percentile 91. Top paper: “The United States COVID-19 Forecast Hub dataset”.

The United States COVID-19 Forecast Hub dataset

Scientific Data(2022)10.1038/s41597-022-01517-w
Top 9%
2.3DataRank
Top 9%131 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +95 more

Using Mobility Data to Understand and Forecast COVID19 Dynamics

medRxiv(2020)10.1101/2020.12.13.20248129
N/A
0DataRank · unranked
25 citations

Xue Ben, Aniruddha Adiga, Adam Sadilek, Ashish V. Tendulkar, Srinivasan Venkatramanan +10 more

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting

(2020)10.1109/bigdata50022.2020.9377904
N/A
0DataRank · unranked
24 citations

Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe +1 more

Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics

medRxiv(2020)10.1101/2020.06.05.20123760
N/A
0DataRank · unranked
20 citations

Lijing Wang, Adam Sadilek, Ashish V. Tendulkar, Srinivasan Venkatramanan, Anil Vullikanti +9 more

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting

arXiv (Cornell University)(2020)10.48550/arxiv.2010.14491
N/A
0DataRank · unranked
6 citations

Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe +1 more

Forecasting influenza activity using machine-learned mobility map

Nature Communications(2021)10.1038/s41467-021-21018-5
N/A
0DataRank · unranked
82 citations

Adam Sadilek, Arindam Fadikar, Christopher L. Barrett, Matthew Biggerstaff, Jiangzhuo Chen +12 more

All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting

(2021)10.1145/3447548.3467197
N/A
0DataRank · unranked
30 citations

Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan +3 more

All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting

medRxiv(2021)10.1101/2021.03.12.21253495
N/A
0DataRank · unranked
19 citations

Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan +3 more

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting

Proceedings of the AAAI Conference on Artificial Intelligence(2022)10.1609/aaai.v36i11.21479
N/A
0DataRank · unranked
105 citations

Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav Marathe +1 more

Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative

UA Campus Repository (The University of Arizona)(2022)10.18653/v1/2022.clinicalnlp-1.11
N/A
0DataRank · unranked
2 citations

Timothy M. Miller, Steven Bethard, Guergana Savova, Lijing Wang

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

eLife(2023)10.7554/elife.81916
N/A
0DataRank · unranked
104 citations

Hugo Gruson, Rok Grah, Helen Johnson, Rene Niehus, Bastian Prasse +95 more

Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models

(2023)10.18653/v1/2023.acl-long.877
N/A
0DataRank · unranked
11 citations

Yingya Li, Timothy M. Miller, Steven Bethard, Guergana Savova, Lijing Wang

Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts

Proceedings of the AAAI Conference on Artificial Intelligence(2023)10.1609/aaai.v37i13.26855
N/A
0DataRank · unranked
9 citations

Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw Porebski, Srinivasan Venkatramanan +3 more

TDEFSI

ACM Transactions on Spatial Algorithms and Systems(2020)10.1145/3380971
N/A
0DataRank · unranked
30 citations

Jiangzhuo Chen, Madhav Marathe, Lijing Wang

Challenges of COVID-19 Case Forecasting in the US, 2020–2021

UNC Libraries(2024)10.17615/k6z3-1y39
N/A
0DataRank · unranked
0 citations

Xing Xie, Weitong Zhang, Alison L. Hill, Brad Suchoski, Quanquan Gu +95 more